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hr-grievance-routing-model
tojpaj/hr-grievance-routing-model
hr-grievance-routing-model is a machine learning model from tojpaj. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
MuRIL fine-tuned for native Hindi/Punjabi workplace grievance intent classification (wagedispute/harassmentescalation/leavepfesi/ general). AutoScientist Challenge Part 2, HR category.
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At a glance
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Aug 2, 2026
- Updated
- Aug 2, 2026
- SHA
- 3c468ce5
Base models
Model card
From the Hugging Face model README
Worker Grievance Routing Model (MuRIL, Hindi/Punjabi)
MuRIL fine-tuned for native Hindi/Punjabi workplace grievance intent classification (wage_dispute/harassment_escalation/leave_pf_esi/ general). AutoScientist Challenge Part 2, HR category.
Results
Accuracy 82.1%, Macro-F1 0.225 (held-out 20% split, 28 rows).
Known limitation, disclosed honestly: built without ULCA
registration to fit the deadline, using IndicCorpV2 general web text
instead of genuine worker grievances. general dominates (127/137
training rows); the three genuine grievance intents have too few
examples (1-5 each) for reliable classification. The
escalation-bypass safety design this idea was built around
(harassment_escalation + urgency=immediate -> hard-route to a human)
is documented but not meaningfully testable on this round's thin
urgency-label data (only 4 total). See the source project's
PART2_SUBMISSION.md.
- Type
- bert
- License
- apache-2.0
- Languages
- hi, pa
- Created
- Aug 2, 2026
- Updated
- Aug 2, 2026